How to use make a function that counts number of zeros in each rows with FunctionTransformer
I am trying to concatenate a feature that counts the number of zeros in each rows of a given dataset using the Sklearn's FeatureUnion function and FunctionTransformer.
I have tried the following:
def rowzeros(X):
return (X==0).sum(axis=0)
make_union(MaxMinScaler(),
FunctionTransformer(get_zeros_each_rows))
However, I would get this error:
ValueError: all the input array dimensions except for the
concatenation axis must match exactly.
It looks like there is an error on the array shape. How would I fix this?
python pandas scikit-learn data-manipulation
edited Jan 19 at 6:55
Mohammadreza Farahani
2,02131424
asked Jan 19 at 6:51
MikeMike
286
add a comment |
I am trying to concatenate a feature that counts the number of zeros in each rows of a given dataset using the Sklearn's FeatureUnion function and FunctionTransformer.
I have tried the following:
def rowzeros(X):
return (X==0).sum(axis=0)
make_union(MaxMinScaler(),
FunctionTransformer(get_zeros_each_rows))
However, I would get this error:
ValueError: all the input array dimensions except for the
concatenation axis must match exactly.
It looks like there is an error on the array shape. How would I fix this?
python pandas scikit-learn data-manipulation
edited Jan 19 at 6:55
Mohammadreza Farahani
2,02131424
asked Jan 19 at 6:51
MikeMike
286
2
Could you please add some examples so that to form MCVE?
– sophros
Jan 19 at 7:34
add a comment |
I am trying to concatenate a feature that counts the number of zeros in each rows of a given dataset using the Sklearn's FeatureUnion function and FunctionTransformer.
I have tried the following:
def rowzeros(X):
return (X==0).sum(axis=0)
make_union(MaxMinScaler(),
FunctionTransformer(get_zeros_each_rows))
However, I would get this error:
ValueError: all the input array dimensions except for the
concatenation axis must match exactly.
It looks like there is an error on the array shape. How would I fix this?
python pandas scikit-learn data-manipulation
edited Jan 19 at 6:55
Mohammadreza Farahani
2,02131424
asked Jan 19 at 6:51
MikeMike
286
I am trying to concatenate a feature that counts the number of zeros in each rows of a given dataset using the Sklearn's FeatureUnion function and FunctionTransformer.
I have tried the following:
def rowzeros(X):
return (X==0).sum(axis=0)
make_union(MaxMinScaler(),
FunctionTransformer(get_zeros_each_rows))
However, I would get this error:
ValueError: all the input array dimensions except for the
concatenation axis must match exactly.
It looks like there is an error on the array shape. How would I fix this?
python pandas scikit-learn data-manipulation
python pandas scikit-learn data-manipulation
edited Jan 19 at 6:55
Mohammadreza Farahani
2,02131424
asked Jan 19 at 6:51
MikeMike
286
edited Jan 19 at 6:55
Mohammadreza Farahani
2,02131424
asked Jan 19 at 6:51
MikeMike
286
edited Jan 19 at 6:55
Mohammadreza Farahani
2,02131424
edited Jan 19 at 6:55
Mohammadreza Farahani
2,02131424
edited Jan 19 at 6:55
Mohammadreza Farahani
2,02131424
2,02131424
asked Jan 19 at 6:51
MikeMike
286
asked Jan 19 at 6:51
MikeMike
286
asked Jan 19 at 6:51
MikeMike
286
286
2
Could you please add some examples so that to form MCVE?
– sophros
Jan 19 at 7:34
add a comment |
2
Could you please add some examples so that to form MCVE?
– sophros
Jan 19 at 7:34
2
2
Could you please add some examples so that to form MCVE?
– sophros
Jan 19 at 7:34
Could you please add some examples so that to form MCVE?
– sophros
Jan 19 at 7:34
add a comment |
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2
Could you please add some examples so that to form MCVE?
– sophros
Jan 19 at 7:34